Experience : 12-15 years of experience in data architecture, with extensive expertise in Google Cloud Platform (GCP).Skills : Deep understanding of GCP services including Big Query, Dataflow, Pub / Sub, Cloud Storage, and IAM. Proficiency in data modeling, ETL processes, and dataware housing.Qualifications : Masters degree in Computer Science, Data Engineering, or a related field.Competencies : Strong leadership abilities, with a proven track record of managing large-scaledata projects. Ability to balance technical and business needs in designing data solutions.Certifications : Google Cloud Professional Data Engineer or Professional Cloud Architect certification preferred.Knowledge : Extensive knowledge of data governance, security best practices, and compliance in cloud environments. Familiarity with big data technologies like Apache Hadoop and Spark.Soft Skills : Excellent communication skills to work effectively with both technical teams and business stakeholders. Ability to lead and mentor a team of data engineers and architects.Tools : Experience with version control (Git), CI / CD pipelines, and automation tools. Proficient in SQL, Python, and data visualization tools like Looker or Power BI.Required abilities
- Physical :
- Other :
Work Environment Details :
Specific requirements
- Travel :
- Vehicle :
- Work Permit :
Other details
- Pay Rate :
- Contract Types :
- Time Constraints :
- Compliance Related :
- Union Affiliation :
Skills Required
Sql, Python, Power Bi, Git